<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
<meta http-equiv="X-UA-Compatible" content="IE=9"/>
<title>Cluster Aggregation: CSpectralClusterer.cs Source File</title>

<link href="tabs.css" rel="stylesheet" type="text/css"/>
<link href="doxygen.css" rel="stylesheet" type="text/css" />
<link href="navtree.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="jquery.js"></script>
<script type="text/javascript" src="resize.js"></script>
<script type="text/javascript" src="navtree.js"></script>
<script type="text/javascript">
  $(document).ready(initResizable);
</script>
<link href="search/search.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="search/search.js"></script>
<script type="text/javascript">
  $(document).ready(function() { searchBox.OnSelectItem(0); });
</script>

</head>
<body>
<div id="top"><!-- do not remove this div! -->


<div id="titlearea">
<table cellspacing="0" cellpadding="0">
 <tbody>
 <tr style="height: 56px;">
  
  <td id="projectlogo"><img alt="Logo" src="logo.png"/></td>
  
  
  <td style="padding-left: 0.5em;">
   <div id="projectname">Cluster Aggregation
   &#160;<span id="projectnumber">1.0</span>
   </div>
   <div id="projectbrief">Clustering, made simple</div>
  </td>
  
  
  
 </tr>
 </tbody>
</table>
</div>

<!-- Generated by Doxygen 1.8.0 -->
<script type="text/javascript">
var searchBox = new SearchBox("searchBox", "search",false,'Search');
</script>
  <div id="navrow1" class="tabs">
    <ul class="tablist">
      <li><a href="index.html"><span>Main&#160;Page</span></a></li>
      <li><a href="namespaces.html"><span>Packages</span></a></li>
      <li><a href="annotated.html"><span>Classes</span></a></li>
      <li class="current"><a href="files.html"><span>Files</span></a></li>
      <li>
        <div id="MSearchBox" class="MSearchBoxInactive">
        <span class="left">
          <img id="MSearchSelect" src="search/mag_sel.png"
               onmouseover="return searchBox.OnSearchSelectShow()"
               onmouseout="return searchBox.OnSearchSelectHide()"
               alt=""/>
          <input type="text" id="MSearchField" value="Search" accesskey="S"
               onfocus="searchBox.OnSearchFieldFocus(true)" 
               onblur="searchBox.OnSearchFieldFocus(false)" 
               onkeyup="searchBox.OnSearchFieldChange(event)"/>
          </span><span class="right">
            <a id="MSearchClose" href="javascript:searchBox.CloseResultsWindow()"><img id="MSearchCloseImg" border="0" src="search/close.png" alt=""/></a>
          </span>
        </div>
      </li>
    </ul>
  </div>
  <div id="navrow2" class="tabs2">
    <ul class="tablist">
      <li><a href="files.html"><span>File&#160;List</span></a></li>
      <li><a href="globals.html"><span>File&#160;Members</span></a></li>
    </ul>
  </div>
</div>
<div id="side-nav" class="ui-resizable side-nav-resizable">
  <div id="nav-tree">
    <div id="nav-tree-contents">
    </div>
  </div>
  <div id="splitbar" style="-moz-user-select:none;" 
       class="ui-resizable-handle">
  </div>
</div>
<script type="text/javascript">
  initNavTree('_c_spectral_clusterer_8cs.html','');
</script>
<div id="doc-content">
<!-- window showing the filter options -->
<div id="MSearchSelectWindow"
     onmouseover="return searchBox.OnSearchSelectShow()"
     onmouseout="return searchBox.OnSearchSelectHide()"
     onkeydown="return searchBox.OnSearchSelectKey(event)">
<a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(0)"><span class="SelectionMark">&#160;</span>All</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(1)"><span class="SelectionMark">&#160;</span>Classes</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(2)"><span class="SelectionMark">&#160;</span>Namespaces</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(3)"><span class="SelectionMark">&#160;</span>Files</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(4)"><span class="SelectionMark">&#160;</span>Functions</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(5)"><span class="SelectionMark">&#160;</span>Variables</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(6)"><span class="SelectionMark">&#160;</span>Properties</a></div>

<!-- iframe showing the search results (closed by default) -->
<div id="MSearchResultsWindow">
<iframe src="javascript:void(0)" frameborder="0" 
        name="MSearchResults" id="MSearchResults">
</iframe>
</div>

<div class="header">
  <div class="headertitle">
<div class="title">CSpectralClusterer.cs</div>  </div>
</div><!--header-->
<div class="contents">
<a href="_c_spectral_clusterer_8cs.html">Go to the documentation of this file.</a><div class="fragment"><pre class="fragment"><a name="l00001"></a>00001 ﻿extern alias <a class="code" href="_c_volkovich_yahalom_8cs.html#adb966b3e984a1965fe3340708abd6850">alglibnet2</a>;
<a name="l00002"></a>00002 
<a name="l00003"></a>00003 <span class="keyword">using</span> System;
<a name="l00004"></a>00004 <span class="keyword">using</span> System.Collections.Generic;
<a name="l00005"></a>00005 <span class="keyword">using</span> System.Linq;
<a name="l00006"></a>00006 <span class="keyword">using</span> System.Text;
<a name="l00007"></a>00007 
<a name="l00008"></a>00008 
<a name="l00009"></a>00009 <span class="keyword">namespace </span>ClusterAggregation.Clusterers
<a name="l00010"></a>00010 {
<a name="l00011"></a>00011     <span class="keyword">using</span> Datum;
<a name="l00012"></a>00012     <span class="keyword">using</span> DataSets;
<a name="l00021"></a><a class="code" href="class_cluster_aggregation_1_1_clusterers_1_1_c_spectral_clusterer.html">00021</a>     <span class="keyword">public</span> <span class="keyword">class </span><a class="code" href="class_cluster_aggregation_1_1_clusterers_1_1_c_spectral_clusterer.html">CSpectralClusterer</a>:<a class="code" href="interface_cluster_aggregation_1_1_clusterers_1_1_i_clusterer.html">IClusterer</a>
<a name="l00022"></a>00022     {
<a name="l00024"></a>00024         <span class="keyword">private</span> <a class="code" href="class_cluster_aggregation_1_1_clusterers_1_1_c_k_means_impl.html">CKMeansImpl</a> m_kmeansClusterer;
<a name="l00026"></a>00026         <span class="keyword">private</span> <a class="code" href="interface_cluster_aggregation_1_1_datum_1_1_i_similarity.html">ISimilarity</a> m_distFunc;
<a name="l00028"></a>00028         <span class="keyword">private</span> <span class="keywordtype">double</span> m_smoothParam;
<a name="l00030"></a>00030         <span class="keyword">private</span> <span class="keywordtype">bool</span> m_normalize;
<a name="l00032"></a>00032         <span class="keyword">private</span> <span class="keyword">static</span> <a class="code" href="interface_cluster_aggregation_1_1_clusterers_1_1_i_clusterer.html">IClusterer</a> m_sDefaultClusterer = <span class="keyword">new</span> <a class="code" href="class_cluster_aggregation_1_1_clusterers_1_1_c_spectral_clusterer.html">CSpectralClusterer</a>(null,0,<span class="keyword">false</span>);
<a name="l00034"></a>00034         <span class="keyword">private</span> <span class="keyword">static</span> <a class="code" href="interface_cluster_aggregation_1_1_clusterers_1_1_i_clusterer.html">IClusterer</a> m_sSecondaryDefaultClusterer = <span class="keyword">new</span> <a class="code" href="class_cluster_aggregation_1_1_clusterers_1_1_c_pam_impl.html">CPamImpl</a>();
<a name="l00041"></a><a class="code" href="class_cluster_aggregation_1_1_clusterers_1_1_c_spectral_clusterer.html#affeddcc5082d604cf8603d361e5bd605">00041</a>         <span class="keyword">public</span> <a class="code" href="class_cluster_aggregation_1_1_clusterers_1_1_c_spectral_clusterer.html">CSpectralClusterer</a>(<a class="code" href="interface_cluster_aggregation_1_1_datum_1_1_i_similarity.html">ISimilarity</a> distFunc = null, <span class="keywordtype">double</span> smooth = 0.7, <span class="keywordtype">bool</span> normalize = <span class="keyword">true</span>)
<a name="l00042"></a>00042         {
<a name="l00043"></a>00043             m_kmeansClusterer = <span class="keyword">new</span> <a class="code" href="class_cluster_aggregation_1_1_clusterers_1_1_c_k_means_impl.html">CKMeansImpl</a>();
<a name="l00044"></a>00044             m_distFunc = distFunc;
<a name="l00045"></a>00045 
<a name="l00046"></a>00046             <span class="keywordflow">if</span> (distFunc == null)
<a name="l00047"></a>00047                 m_distFunc = <span class="keyword">new</span> <a class="code" href="class_cluster_aggregation_1_1_datum_1_1_c_euclidean_distance_similarity_function.html">CEuclideanDistanceSimilarityFunction</a>();
<a name="l00048"></a>00048 
<a name="l00049"></a>00049             m_smoothParam =  ( smooth * smooth * (- 2 ));
<a name="l00050"></a>00050 
<a name="l00051"></a>00051             m_normalize = normalize;
<a name="l00052"></a>00052         }
<a name="l00053"></a>00053 
<a name="l00054"></a><a class="code" href="class_cluster_aggregation_1_1_clusterers_1_1_c_spectral_clusterer.html#a708beef278c8e962819f5854b0fd2ddb">00054</a>         <span class="keyword">public</span> <a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html">CPartition</a> cluster(<a class="code" href="class_cluster_aggregation_1_1_datum_1_1_a_data.html">AData</a>[] arg, <a class="code" href="interface_cluster_aggregation_1_1_datum_1_1_i_similarity.html">ISimilarity</a> distFunc, <span class="keywordtype">int</span> k)
<a name="l00055"></a>00055         {
<a name="l00056"></a>00056             lock(<span class="keyword">this</span>)
<a name="l00057"></a>00057             {
<a name="l00058"></a>00058                 DateTime dt = DateTime.Now;
<a name="l00059"></a>00059                 <span class="keywordtype">double</span>[,] paramMat = distFunc.<a class="code" href="interface_cluster_aggregation_1_1_datum_1_1_i_similarity.html#a00d3c6da10ad3b7c9326c04164bdf28c">getFullMatrix</a>(arg);
<a name="l00060"></a>00060                 <span class="keywordtype">double</span>[] wr = <span class="keyword">new</span> <span class="keywordtype">double</span>[arg.Length]; <span class="comment">// real part of eigenvalues  (no imaginary part since we send a symetric matrix</span>
<a name="l00061"></a>00061                 <span class="keywordtype">double</span>[] dataRank = <span class="keyword">new</span> <span class="keywordtype">double</span>[arg.Length];
<a name="l00062"></a>00062                 <span class="keywordtype">double</span>[,] eigenVectors = <span class="keyword">new</span> <span class="keywordtype">double</span>[arg.Length, arg.Length];
<a name="l00063"></a>00063                 <span class="keywordtype">int</span> breaker;
<a name="l00064"></a>00064                 <span class="keywordtype">double</span> maxjump = 0;
<a name="l00065"></a>00065                 <span class="keywordtype">int</span> ind;
<a name="l00066"></a>00066 
<a name="l00067"></a>00067                 <span class="comment">// get ranks</span>
<a name="l00068"></a>00068                 <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; arg.Length; i++)
<a name="l00069"></a>00069                 {
<a name="l00070"></a>00070                     dataRank[i] = 0;
<a name="l00071"></a>00071                     <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; arg.Length; j++)
<a name="l00072"></a>00072                     {
<a name="l00073"></a>00073                         dataRank[i] += paramMat[i, j];
<a name="l00074"></a>00074                     }
<a name="l00075"></a>00075                 }
<a name="l00076"></a>00076 
<a name="l00077"></a>00077              
<a name="l00078"></a>00078                 <span class="comment">//init param mat</span>
<a name="l00079"></a>00079                 <span class="keywordflow">if</span> (m_smoothParam == 0)
<a name="l00080"></a>00080                     m_smoothParam = 0 ; <span class="comment">// nothing happens at all</span>
<a name="l00081"></a>00081 
<a name="l00082"></a>00082                 <span class="keywordflow">else</span>
<a name="l00083"></a>00083                 {
<a name="l00084"></a>00084                     <span class="comment">//calculate diagonal values of D ^ -0.5</span>
<a name="l00085"></a>00085                     <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; arg.Length; i++)
<a name="l00086"></a>00086                     {
<a name="l00087"></a>00087                         dataRank[i] = Math.Pow(dataRank[i], -0.5);
<a name="l00088"></a>00088                     }
<a name="l00089"></a>00089 
<a name="l00091"></a>00091 
<a name="l00092"></a>00092                     <span class="keywordflow">if</span> (m_normalize) <span class="comment">// normalize paramMat</span>
<a name="l00093"></a>00093                     {
<a name="l00094"></a>00094                         <span class="comment">// begin by calculating sum of each row</span>
<a name="l00095"></a>00095                         <span class="keywordtype">double</span>[] sum = <span class="keyword">new</span> <span class="keywordtype">double</span>[arg.Length];
<a name="l00096"></a>00096                         <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; arg.Length; i++)
<a name="l00097"></a>00097                         {
<a name="l00098"></a>00098                             sum[i] = 0;
<a name="l00099"></a>00099 
<a name="l00100"></a>00100                             <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; arg.Length; j++)
<a name="l00101"></a>00101                             {
<a name="l00102"></a>00102                                 sum[i] += paramMat[i, j];
<a name="l00103"></a>00103                             }
<a name="l00104"></a>00104                         } <span class="comment">// end of calculate sum of rows</span>
<a name="l00105"></a>00105                         <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; arg.Length; i++)
<a name="l00106"></a>00106                         {
<a name="l00107"></a>00107                             <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; arg.Length; j++)
<a name="l00108"></a>00108                             {
<a name="l00109"></a>00109                                 paramMat[i, j] /= sum[i &gt; j ? i : j];
<a name="l00110"></a>00110                             }
<a name="l00111"></a>00111                         }
<a name="l00112"></a>00112                         <span class="comment">// end of normalize paramMat </span>
<a name="l00113"></a>00113                     }
<a name="l00114"></a>00114 
<a name="l00115"></a>00115                     <span class="comment">// calculate W</span>
<a name="l00116"></a>00116                     <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; arg.Length; i++)
<a name="l00117"></a>00117                     {
<a name="l00118"></a>00118                         <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; arg.Length; j++)
<a name="l00119"></a>00119                         {
<a name="l00120"></a>00120                             paramMat[i, j] = Math.Pow(Math.E, paramMat[i, j] * m_smoothParam);
<a name="l00121"></a>00121                         }
<a name="l00122"></a>00122                         <span class="comment">//paramMat[i, i] = 0; - similarity between i and i is 1! don&#39;t override</span>
<a name="l00123"></a>00123                     }
<a name="l00124"></a>00124 
<a name="l00125"></a>00125 
<a name="l00126"></a>00126  
<a name="l00127"></a>00127                     <span class="comment">// calculate W*D</span>
<a name="l00128"></a>00128                     <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; arg.Length; i++)
<a name="l00129"></a>00129                     {
<a name="l00130"></a>00130                         <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; arg.Length; j++)
<a name="l00131"></a>00131                         {
<a name="l00132"></a>00132                             paramMat[i, j] = paramMat[i,j] * dataRank[j]; 
<a name="l00133"></a>00133                             <span class="comment">// Line I, row J, in row J only the J&#39;th number is not 0</span>
<a name="l00134"></a>00134                         }
<a name="l00135"></a>00135                     }
<a name="l00136"></a>00136                     <span class="comment">// calcuulate D*(W*D)</span>
<a name="l00137"></a>00137                     <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; arg.Length; i++)
<a name="l00138"></a>00138                     {
<a name="l00139"></a>00139                         <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; arg.Length; j++)
<a name="l00140"></a>00140                         {
<a name="l00141"></a>00141                             paramMat[i, j] = paramMat[i, j] * dataRank[i]; 
<a name="l00142"></a>00142                             <span class="comment">// more understandable if you&#39;re doing it on a piece of paper</span>
<a name="l00143"></a>00143                         }
<a name="l00144"></a>00144                     }<span class="comment">// </span>
<a name="l00145"></a>00145                 }
<a name="l00146"></a>00146 
<a name="l00147"></a>00147                 <span class="comment">// calc eigen vectors and values              </span>
<a name="l00148"></a>00148                 <span class="keywordtype">bool</span> resp = <a class="code" href="_c_volkovich_yahalom_8cs.html#adb966b3e984a1965fe3340708abd6850">alglibnet2</a>.alglib.evd.smatrixevd (paramMat, arg.Length , 1<span class="comment">/* eigenvectors needed */</span>,<span class="keyword">true</span>,ref wr,ref eigenVectors);
<a name="l00149"></a>00149 
<a name="l00150"></a>00150                 breaker=ind = arg.Length - 2;
<a name="l00151"></a>00151                 
<a name="l00152"></a>00152                 <span class="keywordflow">while</span> (ind &gt;0 &amp;&amp; wr[ind] &gt; 0)
<a name="l00153"></a>00153                 {
<a name="l00154"></a>00154                     <span class="keywordflow">if</span> (maxjump &lt; Math.Abs(wr[ind] - wr[ind + 1]))
<a name="l00155"></a>00155                     {
<a name="l00156"></a>00156                         maxjump = Math.Abs(wr[ind] - wr[ind + 1]);
<a name="l00157"></a>00157                         breaker = ind;
<a name="l00158"></a>00158                     }
<a name="l00159"></a>00159                     ind--;
<a name="l00160"></a>00160                 }
<a name="l00161"></a>00161                 <span class="keywordtype">int</span> top = arg.Length - 1;
<a name="l00162"></a>00162 
<a name="l00163"></a>00163                 <a class="code" href="class_cluster_aggregation_1_1_datum_1_1_a_data.html">AData</a>[] toCluster = <span class="keyword">new</span> <a class="code" href="class_cluster_aggregation_1_1_datum_1_1_a_data.html">AData</a>[arg.Length];
<a name="l00164"></a>00164 
<a name="l00165"></a>00165                 breaker = top - breaker + 1; <span class="comment">// less calculations later</span>
<a name="l00166"></a>00166 
<a name="l00167"></a>00167                 <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; arg.Length; i++)
<a name="l00168"></a>00168                 {
<a name="l00169"></a>00169                     toCluster[i] = <span class="keyword">new</span> <a class="code" href="class_cluster_aggregation_1_1_datum_1_1_a_data.html">AData</a>(breaker); <span class="comment">// allocate coordinates</span>
<a name="l00170"></a>00170 
<a name="l00171"></a>00171                     toCluster[i].<a class="code" href="class_cluster_aggregation_1_1_datum_1_1_a_data.html#ad3112a51f4625be7fc563e018a29b38b">id</a> = i;
<a name="l00172"></a>00172                     <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; breaker; j++)
<a name="l00173"></a>00173                         <span class="keywordflow">if</span> (<span class="keywordtype">double</span>.IsNaN(eigenVectors[i,j]))
<a name="l00174"></a>00174                         {
<a name="l00175"></a>00175                             <span class="keywordflow">if</span> (m_smoothParam == 0)
<a name="l00176"></a>00176                                 <span class="keywordflow">return</span> m_sSecondaryDefaultClusterer.cluster(arg, distFunc, k);
<a name="l00177"></a>00177                             <span class="keywordflow">else</span>
<a name="l00178"></a>00178                                 <span class="keywordflow">return</span> m_sDefaultClusterer.cluster(arg, distFunc, k);
<a name="l00179"></a>00179                         }
<a name="l00180"></a>00180                         <span class="keywordflow">else</span>
<a name="l00181"></a>00181                             toCluster[i].<a class="code" href="class_cluster_aggregation_1_1_datum_1_1_a_data.html#a0aed3fd634fcb713a8cfdf9f5a8d8d96">coordinates</a>[j] = eigenVectors[i,j];  
<a name="l00182"></a>00182                 }
<a name="l00183"></a>00183 
<a name="l00184"></a>00184                 <a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html">CPartition</a> tmpPartition = m_kmeansClusterer.cluster(toCluster,m_distFunc,k);
<a name="l00185"></a>00185                 <a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html">CPartition</a> finalPartition = <span class="keyword">new</span> <a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html">CPartition</a>();
<a name="l00186"></a>00186                 <a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_cluster.html">CCluster</a> tmpCluster;
<a name="l00187"></a>00187                 <span class="keywordflow">foreach</span> (<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_cluster.html">CCluster</a> clstr <span class="keywordflow">in</span> tmpPartition._clusters)
<a name="l00188"></a>00188                 {
<a name="l00189"></a>00189                     tmpCluster = <span class="keyword">new</span> <a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_cluster.html">CCluster</a>();
<a name="l00190"></a>00190                     <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; clstr.<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_cluster.html#af1e83ae264752f01ceec25dd4fac5b4b">_data</a>.Count; i++)
<a name="l00191"></a>00191                     {
<a name="l00192"></a>00192                         <span class="comment">// clstr._data[i].id  is the id of the data we want to add</span>
<a name="l00193"></a>00193                         <span class="comment">// we add from arg</span>
<a name="l00194"></a>00194                         tmpCluster._data.Add(arg[clstr.<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_cluster.html#af1e83ae264752f01ceec25dd4fac5b4b">_data</a>[i].id]); 
<a name="l00195"></a>00195                     }
<a name="l00196"></a>00196                     finalPartition._clusters.Add(tmpCluster);
<a name="l00197"></a>00197                 } <span class="comment">// end of foreach</span>
<a name="l00198"></a>00198                 DateTime dt2 = DateTime.Now;
<a name="l00199"></a>00199                 <span class="keywordtype">int</span> hour = dt2.Hour - dt.Hour;
<a name="l00200"></a>00200                 <span class="keywordtype">int</span> min = dt2.Minute - dt.Minute;
<a name="l00201"></a>00201                 <span class="keywordtype">int</span> sec = dt2.Second - dt.Second;
<a name="l00202"></a>00202                 finalPartition.name = <span class="stringliteral">&quot;Spectral Clustering&quot;</span>;
<a name="l00203"></a>00203                 <span class="keywordflow">return</span> finalPartition;
<a name="l00204"></a>00204             } <span class="comment">// end of lock</span>
<a name="l00205"></a>00205         }<span class="comment">//end of func</span>
<a name="l00206"></a>00206 
<a name="l00207"></a>00207     }
<a name="l00208"></a>00208 }
</pre></div></div><!-- contents -->
</div>
  <div id="nav-path" class="navpath">
    <ul>
      <li class="navelem"><a class="el" href="_c_spectral_clusterer_8cs.html">CSpectralClusterer.cs</a>      </li>

    <li class="footer">Generated on Sun Jun 10 2012 19:35:05 for Cluster Aggregation by
    <a href="http://www.doxygen.org/index.html">
    <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.0 </li>
   </ul>
 </div>


</body>
</html>
